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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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ORCID — researcher identity
Crossref — publisher confirmation

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Hyginus Obinna Ozioko · Sankore

Michael Okpara University of Agriculture

Hyginus Obinna Ozioko

ORCID, self-asserted

ORCID 0000-0001-6470-8671

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it.

Publications

5

Citations

10

h-index

2

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

0

Works published 2022 onward have been swept for this country. Figures are complete within that window, to the extent the open indexes are.

Publications

5 works in the graph, newest first.

Study of Compressive Strength of Palm Kernel Shell Concrete Under Various Curing Methods and Predictive Modeling using Machine Learning
2026Engineering and Technology JournalJournalOpen accessFirst author0 citations10.30684/2412-0758.1567
Experimental evaluation and predictive modeling of sustainable concrete incorporating agricultural and industrial waste admixtures
2026Discover Civil EngineeringJournalOpen accessFirst authorCorresponding0 citations10.1007/s44290-026-00596-7
Evaluating the impact of demolished concrete aggregates on workability, density, and strength with predictive modeling
2025Discover Civil EngineeringJournalOpen accessFirst authorCorresponding7 citations10.1007/s44290-025-00230-y
Predictive modeling of Cbr and compressibility in lime stabilized lateritic soil using machine learning and Pchip data augmentation
2025Discover Civil EngineeringJournalOpen accessFirst authorCorresponding3 citations10.1007/s44290-025-00304-x
Leveraging Artificial Intelligence And Statistical Methods For Evaluating Geotechnical Properties Of Lateritic Soil In Road Construction: A Case Study On The Umuahia-Ikot Ekpene Road
2025Journal of Science and TechnologyJournalOpen accessFirst author0 citations10.20428/jst.v30i12.3253